ZipRecruiter

Log In

1

Embedded Ai Jobs in California (NOW HIRING)

TETRAMEM INC

Sr. Level Firmware Engineer

San Jose, CA · On-site

$230 - $300/hr

Define product requirements, firmware architecture, development milestones, and release plans for embedded AI products from concept through production. * Own firmware project execution, including ...

TetraMem Inc

Sr. Level Firmware Engineer

San Jose, CA · On-site

$230K - $300K/yr

Define product requirements, firmware architecture, development milestones, and release plans for embedded AI products from concept through production. * Own firmware project execution, including ...

Sonatus

Staff AI Engineer, Edge AI

Sunnyvale, CA · Hybrid

... bound targets or embedded NPUs. * Apply quantization, pruning, distillation, and memory ... AI. Requirements: * Bachelor's degree in Computer Science, Electrical Engineering, Software ...

Sonatus

Staff AI Engineer, Edge AI

San Jose, CA · Hybrid

... bound targets or embedded NPUs. * Apply quantization, pruning, distillation, and memory ... AI. Requirements: * Bachelor's degree in Computer Science, Electrical Engineering, Software ...

Sonatus

Senior Staff AI Engineer, Edge AI

Sunnyvale, CA · Hybrid

$122K - $168K/yr

... bound targets or embedded NPUs. * Apply quantization, pruning, distillation, and memory ... AI. Requirements: * Bachelor's degree in Computer Science, Electrical Engineering, Software ...

Sonatus

Staff AI Engineer, Edge AI

Mountain View, CA · Hybrid

... bound targets or embedded NPUs. * Apply quantization, pruning, distillation, and memory ... AI. Requirements: * Bachelor's degree in Computer Science, Electrical Engineering, Software ...

Sonatus

Staff AI Engineer, Edge AI

Sunnyvale, CA · On-site

... bound targets or embedded NPUs. * Apply quantization, pruning, distillation, and memory ... AI. Requirements: * Bachelor's degree in Computer Science, Electrical Engineering, Software ...

Sonatus

Senior Staff AI Engineer, Edge AI

Mountain View, CA · Hybrid

$123K - $169K/yr

... bound targets or embedded NPUs. * Apply quantization, pruning, distillation, and memory ... AI. Requirements: * Bachelor's degree in Computer Science, Electrical Engineering, Software ...

Sonatus

Staff AI Engineer, Edge AI

San Francisco, CA · Hybrid

... bound targets or embedded NPUs. * Apply quantization, pruning, distillation, and memory ... AI. Requirements: * Bachelor's degree in Computer Science, Electrical Engineering, Software ...

Sonatus

Senior Staff AI Engineer, Edge AI

Sunnyvale, CA · On-site

$122K - $168K/yr

... bound targets or embedded NPUs. * Apply quantization, pruning, distillation, and memory ... AI. Requirements: * Bachelor's degree in Computer Science, Electrical Engineering, Software ...

Sonatus

Senior Staff AI Engineer, Edge AI

San Jose, CA · Hybrid

$122K - $168K/yr

... bound targets or embedded NPUs. * Apply quantization, pruning, distillation, and memory ... AI. Requirements: * Bachelor's degree in Computer Science, Electrical Engineering, Software ...

previous pagenext page

Showing results 21-40

All JobsEmbedded Ai JobsEmbedded Ai Jobs in California

Embedded Ai information

See California salary details

$69.1K

$151.4K

$171.7K

How much do embedded ai jobs pay per year?

As of Aug 13, 2026, the average yearly pay for embedded ai in California is $151,375.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,800.00 and $170,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the embedded AI position, and why are they important?

Success as an Embedded AI professional requires expertise in embedded systems, proficiency in C/C++, Python, and AI algorithms, often backed by a degree in computer engineering or related fields. Familiarity with real-time operating systems (RTOS), development tools like MATLAB, and frameworks such as TensorFlow Lite or ONNX is common, and certifications in embedded or machine learning domains are beneficial. Strong problem-solving skills, attention to detail, and the ability to communicate complex technical concepts clearly are crucial soft skills. These abilities ensure reliable integration of AI models into hardware, fostering innovation and seamless collaboration with multidisciplinary teams.

What is an embedded AI?

An Embedded AI job involves developing and optimizing artificial intelligence models to run efficiently on edge devices with limited computing power, such as IoT devices, autonomous systems, and smart sensors. Professionals in this field work on integrating AI algorithms with embedded systems, ensuring real-time performance, low power consumption, and efficient resource utilization. They collaborate with hardware and software engineers to deploy machine learning models on microcontrollers, FPGAs, or specialized AI accelerators.

What are some common challenges faced by embedded AI professionals in their day-to-day work?

Embedded AI professionals often encounter challenges such as optimizing AI algorithms to run efficiently within the memory and processing constraints of embedded hardware. They must also ensure reliable real-time performance and work to address issues with power consumption and system integration. Collaboration with hardware engineers, data scientists, and software developers is essential to align AI models with platform capabilities. Overcoming these challenges requires continuous learning and adaptability, but the role offers significant opportunities to make impactful contributions to emerging technologies.

What are the most commonly searched types of Embedded Ai jobs in California?

The most popular types of Embedded Ai jobs in California are:

What are popular job titles related to Embedded Ai jobs in California?

For Embedded Ai jobs in California, the most frequently searched job titles are:

What job categories do people searching Embedded Ai jobs in California look for?

The top searched job categories for Embedded Ai jobs in California are:

What cities in California are hiring for Embedded Ai jobs?

Cities in California with the most Embedded Ai job openings:

Embedded Ai jobs near you
Infographic showing various Embedded Ai job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $151,375 per year, or $72.8 per hour.

Sr Engineer, Machine Learning (On-Device Software)

Qualcomm

San Diego, CA • On-site

$130K - $171K/yr

Full-time

Re-posted 7 days ago

Qualcomm rating

8.8

Company rating: 8.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

49th of 244 rated software companies

Job description

Job Summary:
Qualcomm Technologies, Inc. is seeking talented AI software engineers to enable AI technologies on edge devices. In this role, you will develop embedded AI software and collaborate with a multi-disciplinary team to optimize generative AI models for Qualcomm's hardware.
Responsibilities:
• Development of end-to-end embedded AI software to train and finetune neural network models on Qualcomm leading edge hardware with optimal resources.
• Design and enhance the implementation of ML/AI SW stack, kernels, and runtime software to improve performance and power efficiency.
• Collaborating with our AI Processor Hardware team to implement high-quality solutions for new ML operators/layers that optimally utilize new capabilities in next-gen AI processors.
• Development of debugging/profiling tools and user-friendly SDKs for customers to foster rapid deployment of their new use cases.
Qualifications:
Required:
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• OR PhD in Computer Science, Engineering, Information Systems, or related field.
Preferred:
• At least 3 years of work experience in a relevant field.
• Excellent programming capabilities with C/C++ and Python.
• Knowledge of deep learning and ML frameworks ( i.e. PyTorch ).
• Strong software design, development, and debugging skills.
• Knowledge of Android programming is plus.
• Optimization of algebraic operations in algorithms for HW cores is a plus.
• Knowledge in neural network model training is a big plus.
• Knowledge in neural network model quantization is a big plus.
• Experience with Qualcomm QNN SDK is a big plus.
Company:
Qualcomm designs wireless technologies and semiconductors that power connectivity, communication, and smart devices. Founded in 1985, the company is headquartered in San Diego, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Qualcomm employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Qualcomm logo

About Qualcomm

Sourced by ZipRecruiter

Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Our powerful connectivity solutions keep you connected—even in remote areas. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1985

View All Qualcomm Jobs

Apply